Translation
Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
mt5
text2text-generation
Trained with AutoTrain
Instructions to use Tritkoman/EnglishtoRusynV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tritkoman/EnglishtoRusynV2 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="Tritkoman/EnglishtoRusynV2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tritkoman/EnglishtoRusynV2") model = AutoModelForSeq2SeqLM.from_pretrained("Tritkoman/EnglishtoRusynV2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Tritkoman/EnglishtoRusynV2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/Tritkoman/EnglishtoRusynV2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Tritkoman/EnglishtoRusynV2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Tritkoman/EnglishtoRusynV2/resolve/refs%2Fpr%2F1/pytorch_model.bin
4.92 GB
- Xet hash:
- af8a3f29044ccba967fce2bb1760da4744a3f8778b0d059d990caddeb769e19b
- Size of remote file:
- 4.92 GB
- SHA256:
- 92d0d9ff4f714b92c3649c7d8d270c1891f964ccde0db4bcc57e1436994ad65b
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