Instructions to use Rahulrr/language_model_en_he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rahulrr/language_model_en_he 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="Rahulrr/language_model_en_he")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rahulrr/language_model_en_he") model = AutoModelForSeq2SeqLM.from_pretrained("Rahulrr/language_model_en_he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rahulrr/language_model_en_he: direct link, hf CLI and curl.
- Browser
- Download file 217 MB
-
https://huggingface.co/Rahulrr/language_model_en_he/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rahulrr/language_model_en_he/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rahulrr/language_model_en_he/resolve/main/pytorch_model.bin
217 MB
- Xet hash:
- 20494892cf842914950cc9732be522e8ae405925df96fb79f94818e1fc2f9248
- Size of remote file:
- 217 MB
- SHA256:
- 97416679e22884806f4ae1645244164c685bc3c384d27c95e552f0607c0997e7
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