Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use adity12345/Biobert_fnir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adity12345/Biobert_fnir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adity12345/Biobert_fnir")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adity12345/Biobert_fnir") model = AutoModelForSequenceClassification.from_pretrained("adity12345/Biobert_fnir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adity12345/Biobert_fnir: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/adity12345/Biobert_fnir/resolve/main/training_args.bin
- Command line
-
hf download hf://adity12345/Biobert_fnir/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adity12345/Biobert_fnir/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- e681d18584de42ca087fa4b9dd3c80b5bbb9a742836c97674dbd13df04ce804c
- Size of remote file:
- 5.3 kB
- SHA256:
- 9cbcf2cf8bd78a43ac12716fe043247604fb4de4e7754d4bd0b148a1d8577f7c
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