Initial Release

README.md

@@ -1,5 +1,33 @@
 ---
+tags:
+
+- translation
+
+- text2text-generation
+
+- Guyanese Creole
+
+- Caribbean dialect
+
 license: apache-2.0
+
 ---
 
-# Guyanese English Creole to English Translator (Coming Soon)
+# Guyanese English Creole to English Translator 
+This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset for translation of Guyanese English Creole to English. This model will be updated periodically as more data is compiled. For more on the Caribbean English Creole checkout the library [Caribe](https://pypi.org/project/Caribe/).
+
+
+
+___
+# Usage with Transformers
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+tokenizer = AutoTokenizer.from_pretrained("KES/GEC-English")
+model = AutoModelForSeq2SeqLM.from_pretrained("KES/GEC-English")
+text = "Ah waan ah phone"
+inputs = tokenizer("tec:"+text, truncation=True, return_tensors='pt')
+output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True)
+translation=tokenizer.batch_decode(output, skip_special_tokens=True)
+print("".join(translation)) #translation: I want a phone.
+```
+___

config.json

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+{
+  "_name_or_path": "t5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

pytorch_model.bin

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