Instructions to use hf-internal-testing/tiny-random-OPTForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-OPTForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-OPTForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-OPTForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-OPTForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-OPTForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-OPTForSequenceClassification/resolve/f0dae49e7da36fb3785ef1f2848d9dba602e799b/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-OPTForSequenceClassification@f0dae49e7da36fb3785ef1f2848d9dba602e799b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-OPTForSequenceClassification/resolve/f0dae49e7da36fb3785ef1f2848d9dba602e799b/pytorch_model.bin
3.28 MB
- Xet hash:
- f8774201fb57eb88c74a1f8f7ffe719a0b361599f1491e26223035f07cc1f70e
- Size of remote file:
- 3.28 MB
- SHA256:
- 229d93c0b85efe5d6a97f8e4534b337216fa9cb4ec5748c2e4e94239177beb80
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