Instructions to use jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner") model = AutoModelForTokenClassification.from_pretrained("jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner/resolve/2e2a35f2d4bd5f914ca4666d038fa4cb4c5e7087/training_args.bin
- Command line
-
hf download hf://jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner@2e2a35f2d4bd5f914ca4666d038fa4cb4c5e7087/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jordyvl/biobert-base-cased-v1.2_ncbi_disease-lowC-sm-first-ner/resolve/2e2a35f2d4bd5f914ca4666d038fa4cb4c5e7087/training_args.bin
3.12 kB
- Xet hash:
- 8b528406373408ee4639c9449047eaf8dbfd589b8d0ad3bdbb3b45d5e216126a
- Size of remote file:
- 3.12 kB
- SHA256:
- 77e4ae8164c5f894636a1892deca3f31199ed8966d20d5340f81c03b2a59a98d
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