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 tokenizer.json from hf-internal-testing/tiny-random-BigBirdForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
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https://huggingface.co/hf-internal-testing/tiny-random-BigBirdForSequenceClassification/resolve/ea398090858f9af93b54fc9a8d65cfed78ac27ff/tokenizer.json
- Command line
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hf download hf://hf-internal-testing/tiny-random-BigBirdForSequenceClassification@ea398090858f9af93b54fc9a8d65cfed78ac27ff/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-BigBirdForSequenceClassification/resolve/ea398090858f9af93b54fc9a8d65cfed78ac27ff/tokenizer.json
2.46 MB
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