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
d65a024 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%2F17/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-StableLmForSequenceClassification@refs/pr/17/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-StableLmForSequenceClassification/resolve/refs%2Fpr%2F17/model.safetensors
456 kB
- Xet hash:
- f7dcfb2731afb050eaf2308297ad3399757b3cd5977d7085759841c61fe61266
- Size of remote file:
- 456 kB
- SHA256:
- 8be016812f8f1f1558decf7f98c7fee1e95bc3840e8e6cbbd5743785c4998912
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.