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
0186ff2 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%2F18/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification@refs/pr/18/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-Starcoder2ForSequenceClassification/resolve/refs%2Fpr%2F18/model.safetensors
181 kB
- Xet hash:
- 402c61f2dc108f0ffc3499ed1b7564b04304addefbcc4343cbf38cf6e04ecc94
- Size of remote file:
- 181 kB
- SHA256:
- 2eba9dd8211de13883037e25b7cd19a228fa69afd958c168c96e883d07e2d1e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.