Instructions to use hf-tiny-model-private/tiny-random-CTRLForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-CTRLForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-CTRLForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-CTRLForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-CTRLForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-CTRLForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 42.3 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-CTRLForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-CTRLForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-CTRLForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
42.3 MB
- Xet hash:
- cb978fbc6406a84e941255f5bc9c9f83bc02be0dc010995a650365f95d432b89
- Size of remote file:
- 42.3 MB
- SHA256:
- 226635decbc13430dc268341bea85a6ecef18613d3a9cd3c75702e2d99104008
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