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/7572d3a844cb3b0001a4a4d9e4c78dcd5dbe1a93/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BioGptForSequenceClassification@7572d3a844cb3b0001a4a4d9e4c78dcd5dbe1a93/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BioGptForSequenceClassification/resolve/7572d3a844cb3b0001a4a4d9e4c78dcd5dbe1a93/pytorch_model.bin
5.65 MB
- Xet hash:
- 9a44506a543de3cfd6c50f6035702d803059b9afd963cbb0a0b75693d4d37b98
- Size of remote file:
- 5.65 MB
- SHA256:
- ea05d37610980adfb835772c3305f4e31868129885d4311f72b49232c50636c9
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