Instructions to use hf-internal-testing/tiny-random-StableLmForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-StableLmForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-StableLmForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-StableLmForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-StableLmForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hf-transformers-bot HF Staff
Update tiny models for StableLmForSequenceClassification
c449606 verified Download model.safetensors from hf-internal-testing/tiny-random-StableLmForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 456 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-StableLmForSequenceClassification/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-StableLmForSequenceClassification@refs/pr/2/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-StableLmForSequenceClassification/resolve/refs%2Fpr%2F2/model.safetensors
456 kB
- Xet hash:
- fb7aa49a7d995bda7238942990f506a792594796766893cc8dfb046d4f266cb8
- Size of remote file:
- 456 kB
- SHA256:
- 4f983c48d558ecc8b901963744cd0e3766759d22383b8f4444a44030342c8749
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