Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use adity12345/BioBert_pubHealth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adity12345/BioBert_pubHealth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adity12345/BioBert_pubHealth")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adity12345/BioBert_pubHealth") model = AutoModelForSequenceClassification.from_pretrained("adity12345/BioBert_pubHealth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adity12345/BioBert_pubHealth: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/adity12345/BioBert_pubHealth/resolve/main/training_args.bin
- Command line
-
hf download hf://adity12345/BioBert_pubHealth/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adity12345/BioBert_pubHealth/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 05b433a0bd044f923b92919f543d10f447025a74c888d315ff011740656604f7
- Size of remote file:
- 5.37 kB
- SHA256:
- a9d9fdb0e40466917d57a6b6a968ed37597df60c443ce1d4ef1f1d1f282dfd13
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