Instructions to use hf-internal-testing/tiny-random-BioGptForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BioGptForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BioGptForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BioGptForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BioGptForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-BioGptForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.65 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-BioGptForSequenceClassification/resolve/8e18ad6218abd795e050dec324a8c827ccedacb4/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BioGptForSequenceClassification@8e18ad6218abd795e050dec324a8c827ccedacb4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BioGptForSequenceClassification/resolve/8e18ad6218abd795e050dec324a8c827ccedacb4/pytorch_model.bin
5.65 MB
- Xet hash:
- 92f33c7f3b2f08fd607458ffc14f1bd6e8434cf24af666bf066ad0bbe171185d
- Size of remote file:
- 5.65 MB
- SHA256:
- dfe07ba4298fa53ff6e7692ddf815f962ffe72cbe17e57ba166dfb67c9d6b397
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.