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
e4599f5 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%2F21/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-StableLmForSequenceClassification@refs/pr/21/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-StableLmForSequenceClassification/resolve/refs%2Fpr%2F21/model.safetensors
456 kB
- Xet hash:
- e7b47e8233ac4f8af95f5a744f14ba9ad16c7aed17c9c96f33749c733f7c907c
- Size of remote file:
- 456 kB
- SHA256:
- dcf03ce5c6df7c6aa10470ea273069e51496ede2638a32d4ffface3ff0ebe5a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.