Instructions to use Hoax0930/kftt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hoax0930/kftt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Hoax0930/kftt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hoax0930/kftt") model = AutoModelForSeq2SeqLM.from_pretrained("Hoax0930/kftt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hoax0930/kftt: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/Hoax0930/kftt/resolve/main/training_args.bin
- Command line
-
hf download hf://Hoax0930/kftt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hoax0930/kftt/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- b6bc0ab0b6644aed07e854a316d9e932ce99a4591960f6018819c979e419712d
- Size of remote file:
- 3.44 kB
- SHA256:
- 54e3f86dd6afa0ecfacdf8188d0914736dd2ae0ed05b4678cf5ac4bc2e2141cc
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