Instructions to use keles/clef1ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keles/clef1ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keles/clef1ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keles/clef1ar") model = AutoModelForSequenceClassification.from_pretrained("keles/clef1ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from keles/clef1ar: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/keles/clef1ar/resolve/main/training_args.bin
- Command line
-
hf download hf://keles/clef1ar/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/keles/clef1ar/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- e21e3e23652d40d33cb13533108d554b5be3c554fe32e48dd9ce14c3fb52e2cb
- Size of remote file:
- 4.98 kB
- SHA256:
- dabac05dabee16b858a78216541c7bb020adee3a65943a80f7436b76e7851337
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