Instructions to use hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hf-transformers-bot HF Staff
Update tiny models for Starcoder2ForSequenceClassification
e31e392 verified Download model.safetensors from hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 181 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification@refs/pr/1/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
181 kB
- Xet hash:
- 1b7b5f86fda025344c75bd3499dc99510153c88f6488f167865f58e5bd64b991
- Size of remote file:
- 181 kB
- SHA256:
- 018bde06d6172c87210adf905c00e0fa18643e80f2fc4bb61a2ffb6d76b6da14
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