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 source.spm from Hoax0930/kftt: direct link, hf CLI and curl.
- Browser
- Download file 808 kB
-
https://huggingface.co/Hoax0930/kftt/resolve/main/source.spm
- Command line
-
hf download hf://Hoax0930/kftt/source.spm
-
curl -L -o source.spm https://huggingface.co/Hoax0930/kftt/resolve/main/source.spm
808 kB
- Xet hash:
- bd949a7e31737579bdeaf28764e481cdc43df6f09ad398e474238ebdb758290b
- Size of remote file:
- 808 kB
- SHA256:
- e3fd0f2a618eaf9d0216d869b5904af7af2db87d2c561745f4cc21e363be4a75
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