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 pytorch_model.bin from Hoax0930/kftt: direct link, hf CLI and curl.
- Browser
- Download file 310 MB
-
https://huggingface.co/Hoax0930/kftt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hoax0930/kftt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hoax0930/kftt/resolve/main/pytorch_model.bin
310 MB
- Xet hash:
- 9ffe0e42db3645cafa8be13426bb6f684227cc54b96c6c5f0710eea8435815e8
- Size of remote file:
- 310 MB
- SHA256:
- b7bde0d10ad49f91a87efdd8a2f14f7e9dc253c31fddcf3af606b06ffe1e6b77
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