Instructions to use hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification 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-TransfoXLForSequenceClassification 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-TransfoXLForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.58 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
4.58 MB
- Xet hash:
- 78772a9c960e407d05e21a6601e23822f1375188e3a9e6f3785396879f7741d7
- Size of remote file:
- 4.58 MB
- SHA256:
- a85f215ad2c897e853fca27fdb7033533b0268be791bf59ba333f33431abb5da
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