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 model.safetensors from hf-internal-testing/tiny-random-OPTForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.26 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-OPTForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-OPTForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-OPTForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
3.26 MB
- Xet hash:
- 8d8a40ea173ce77ddc755da55809b9ee4ddfa14929fbd6da96c2655a433b5c34
- Size of remote file:
- 3.26 MB
- SHA256:
- bb13e4991ce469601d090935d113dd363597ccf6677042d632064d96745dc93a
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