Instructions to use hf-internal-testing/tiny-random-MistralForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MistralForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MistralForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MistralForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MistralForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MistralForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.15 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MistralForSequenceClassification/resolve/refs%2Fpr%2F25/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MistralForSequenceClassification@refs/pr/25/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MistralForSequenceClassification/resolve/refs%2Fpr%2F25/model.safetensors
4.15 MB
- Xet hash:
- df6aa92765d9ec92aafe7003e6401974a9e4340f31575ee571c2f765e00d914e
- Size of remote file:
- 4.15 MB
- SHA256:
- f2bbb00ad534614ec7b21ae67129e6cc9ec927858acd0b764f7cd067392022f5
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