Instructions to use DarrenChensformer/mrebel-large-trim-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarrenChensformer/mrebel-large-trim-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DarrenChensformer/mrebel-large-trim-zh") model = AutoModelForSeq2SeqLM.from_pretrained("DarrenChensformer/mrebel-large-trim-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DarrenChensformer/mrebel-large-trim-zh: direct link, hf CLI and curl.
- Browser
- Download file 1.67 GB
-
https://huggingface.co/DarrenChensformer/mrebel-large-trim-zh/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DarrenChensformer/mrebel-large-trim-zh/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DarrenChensformer/mrebel-large-trim-zh/resolve/main/pytorch_model.bin
1.67 GB
- Xet hash:
- d4e5d1d90dfa15db9f13388f456c1db3f513b1aed809c8c3c357339635f812ac
- Size of remote file:
- 1.67 GB
- SHA256:
- fce28a7bfe49af25440f26db7cedce4ea080d3308012f2e013f713733867e2dd
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