Instructions to use owen99630/experience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen99630/experience with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owen99630/experience")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owen99630/experience") model = AutoModelForSequenceClassification.from_pretrained("owen99630/experience", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from owen99630/experience: direct link, hf CLI and curl.
- Browser
- Download file 470 MB
-
https://huggingface.co/owen99630/experience/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://owen99630/experience/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/owen99630/experience/resolve/main/pytorch_model.bin
470 MB
- Xet hash:
- 5de96e003155ade979df89456f445c326aff3a60eff00a47064a23ad6b5e437b
- Size of remote file:
- 470 MB
- SHA256:
- 0f0754511226146afd1db78618deb7242da717f94220e8908d0b90b28f802216
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