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
26b2aff 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%2F34/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification@refs/pr/34/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification/resolve/refs%2Fpr%2F34/model.safetensors
181 kB
- Xet hash:
- 46d7a1167801dc82c9816c075aa961da2725cc82dd358822a83ad24ab84c1a6f
- Size of remote file:
- 181 kB
- SHA256:
- ec399bed2c884631f6b48e7669b1299b1a286bce19c818808a09ae004ff83ec8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.