Instructions to use keles/clef1eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keles/clef1eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keles/clef1eng")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keles/clef1eng") model = AutoModelForSequenceClassification.from_pretrained("keles/clef1eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from keles/clef1eng: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/keles/clef1eng/resolve/main/training_args.bin
- Command line
-
hf download hf://keles/clef1eng/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/keles/clef1eng/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- d10db9d78f60d780df99fad6e7367892ee8c2374c7b7f48cae68f8a1ab178cc6
- Size of remote file:
- 4.98 kB
- SHA256:
- c5914b2ec8b4c22f2685a328895cc8b2828ef87fea4a0434346706d3a74e366f
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