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
1278d97 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%2F22/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification@refs/pr/22/model.safetensors
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curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification/resolve/refs%2Fpr%2F22/model.safetensors
181 kB
- Xet hash:
- 20bd255e0d0e00e14e15859c7a6f8400ae84c681cb45b601963f9374d36b04fa
- Size of remote file:
- 181 kB
- SHA256:
- c9bb760245a152ea2972c71b3d56bbc6fafd6dbd0c263b6480918e5376eb3fca
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