Instructions to use hf-internal-testing/tiny-random-BartForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BartForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BartForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BartForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BartForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-BartForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 140 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-BartForSequenceClassification/resolve/d84d0d30db7122425c213486c0587b137ccba231/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BartForSequenceClassification@d84d0d30db7122425c213486c0587b137ccba231/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-BartForSequenceClassification/resolve/d84d0d30db7122425c213486c0587b137ccba231/pytorch_model.bin
140 kB
- Xet hash:
- 04a51f30f1db863928d5b2b03afc3e496231b930f59e41608b252b5eabc6d290
- Size of remote file:
- 140 kB
- SHA256:
- d5442697cfeddd4b9b1aad38fa87fed212936e0655cc8673ffc6b925e7ae4668
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