Instructions to use drkareemkamal/finetunePathologicalTextUsingBioBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use drkareemkamal/finetunePathologicalTextUsingBioBERT with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("emilyalsentzer/Bio_ClinicalBERT") model = PeftModel.from_pretrained(base_model, "drkareemkamal/finetunePathologicalTextUsingBioBERT") - Transformers
How to use drkareemkamal/finetunePathologicalTextUsingBioBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drkareemkamal/finetunePathologicalTextUsingBioBERT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "cls_token": "[CLS]", | |
| "do_lower_case": true, | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |