Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use adity12345/Biobert_combo_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adity12345/Biobert_combo_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adity12345/Biobert_combo_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adity12345/Biobert_combo_v2") model = AutoModelForSequenceClassification.from_pretrained("adity12345/Biobert_combo_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adity12345/Biobert_combo_v2: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/adity12345/Biobert_combo_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://adity12345/Biobert_combo_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adity12345/Biobert_combo_v2/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 8cfbf4116cee45a07f68f6bf9e79908068d3a165ed9338c89cd474a440f8be5d
- Size of remote file:
- 5.37 kB
- SHA256:
- 3cc21b2f0bcf1f8821dd6cf4e6466d40b289d415007e20cd9119c76925e40d85
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