Instructions to use semy/hf-model-0-0-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semy/hf-model-0-0-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="semy/hf-model-0-0-0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("semy/hf-model-0-0-0") model = AutoModelForSequenceClassification.from_pretrained("semy/hf-model-0-0-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from semy/hf-model-0-0-0: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/semy/hf-model-0-0-0/resolve/52f89ff12bb8e76b4e8d748abf85a4a853b65069/pytorch_model.bin
- Command line
-
hf download hf://semy/hf-model-0-0-0@52f89ff12bb8e76b4e8d748abf85a4a853b65069/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/semy/hf-model-0-0-0/resolve/52f89ff12bb8e76b4e8d748abf85a4a853b65069/pytorch_model.bin
268 MB
- Xet hash:
- 31202af2301b26060b69c296a234a52a2d41afdac8ba58ef21941c8052543e4f
- Size of remote file:
- 268 MB
- SHA256:
- 6a28e088e820209ab762db24fbbbffe56b0f99ad677f1a2b8ddd64c761d822b1
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