Instructions to use hf-internal-testing/tiny-random-BigBirdForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BigBirdForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BigBirdForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-BigBirdForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 245 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-BigBirdForSequenceClassification/resolve/2b29389f623fa7af3ffb08c51e9bcbda270ae9ee/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BigBirdForSequenceClassification@2b29389f623fa7af3ffb08c51e9bcbda270ae9ee/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BigBirdForSequenceClassification/resolve/2b29389f623fa7af3ffb08c51e9bcbda270ae9ee/pytorch_model.bin
245 kB
- Xet hash:
- e707dff4f4821b9c589798a269d73491d3bf988ca2114e289e34303e69509df8
- Size of remote file:
- 245 kB
- SHA256:
- 03463f5670258ae4c9834814264402eb8e7a6a63134c857266d92488c4c7cc1c
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