sshan95 commited on
Commit
2106534
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verified ·
1 Parent(s): 92b2c7f

Fix model format with proper config and weights

Browse files
README.md CHANGED
@@ -6,18 +6,13 @@ library_name: transformers
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  pipeline_tag: text-classification
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  tags:
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  - medical
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- - converted-from-space
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- - medicoder
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- source_space: sshan95/medicoder-ai-v2
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  ---
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- # medicoder-ai-v2-model
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- This model was converted from the Hugging Face Space: [sshan95/medicoder-ai-v2](https://huggingface.co/spaces/sshan95/medicoder-ai-v2)
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-
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- ## Model Description
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-
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- MediCoder AI v2 converted from Space to proper model repository for easier integration and deployment.
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  ## Usage
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@@ -26,14 +21,10 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  tokenizer = AutoTokenizer.from_pretrained("sshan95/medicoder-ai-v2-model")
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  model = AutoModelForSequenceClassification.from_pretrained("sshan95/medicoder-ai-v2-model")
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-
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- # Your inference code here
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  ```
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- ## Original Space
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-
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- This model was originally deployed as a Space at: https://huggingface.co/spaces/sshan95/medicoder-ai-v2
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-
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- ## Conversion
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- Converted from Space to Model repository for better accessibility and integration.
 
 
 
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  pipeline_tag: text-classification
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  tags:
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  - medical
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+ - icd10
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+ - multilabel-classification
 
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  ---
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+ # MediCoder AI v2 - Fixed Model
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+ This is a properly formatted version of the MediCoder model for medical code classification.
 
 
 
 
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  ## Usage
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  tokenizer = AutoTokenizer.from_pretrained("sshan95/medicoder-ai-v2-model")
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  model = AutoModelForSequenceClassification.from_pretrained("sshan95/medicoder-ai-v2-model")
 
 
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  ```
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+ ## Configuration
 
 
 
 
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+ - **Labels**: 25,719 ICD-10 codes
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+ - **Architecture**: BERT-based
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+ - **Task**: Multi-label medical code classification
config.json ADDED
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model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:592d9849e5d1488ccc511c77c11444975a10fa9572c77749ebf7ff110ec7da6f
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+ size 517064148
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ {
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+ "cls_token": "[CLS]",
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "[PAD]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "100": {
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+ "content": "[UNK]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "101": {
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+ "content": "[CLS]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "102": {
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+ "content": "[SEP]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "103": {
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+ "content": "[MASK]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "clean_up_tokenization_spaces": false,
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+ "cls_token": "[CLS]",
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+ "do_lower_case": true,
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+ "extra_special_tokens": {},
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "strip_accents": null,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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