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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drkareemkamal/finetunePathologicalTextUsingBioBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from drkareemkamal/finetunePathologicalTextUsingBioBERT: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/drkareemkamal/finetunePathologicalTextUsingBioBERT/resolve/a680ae2ce77db855cbb65aa2ca76dc0cbeafa963/tokenizer.json
- Command line
-
hf download hf://drkareemkamal/finetunePathologicalTextUsingBioBERT@a680ae2ce77db855cbb65aa2ca76dc0cbeafa963/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/drkareemkamal/finetunePathologicalTextUsingBioBERT/resolve/a680ae2ce77db855cbb65aa2ca76dc0cbeafa963/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.