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/b7b2cbe9d576d3188f35b054183f1555d09230cb/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BioGptForSequenceClassification@b7b2cbe9d576d3188f35b054183f1555d09230cb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BioGptForSequenceClassification/resolve/b7b2cbe9d576d3188f35b054183f1555d09230cb/pytorch_model.bin
5.65 MB
- Xet hash:
- 9bc26d950942a53ced5cb3cf30fc1b02a199f4a3936c7701d089e83df55fd915
- Size of remote file:
- 5.65 MB
- SHA256:
- f4ae0a9f7db486743a30c09cc060bb4abbf1006776de769d1c34d52e6e9c623b
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