Instructions to use hydral8/my_first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hydral8/my_first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hydral8/my_first_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hydral8/my_first_model") model = AutoModelForSequenceClassification.from_pretrained("hydral8/my_first_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hydral8/my_first_model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/hydral8/my_first_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hydral8/my_first_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hydral8/my_first_model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 567beb8763e3448c595d93a2f41b00ec5e521bf10ac77abc105c8f9f25b6ece6
- Size of remote file:
- 268 MB
- SHA256:
- 5bfccff097b24f6a158773c44a3e0a22a2879822f40d8dc7bed7fe238a489d21
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