Transformers
PyTorch
TensorFlow
JAX
mbart
text2text-generation
text-generation-inference
code
PyTorch
Instructions to use SnypzZz/Llama2-13b-Language-translate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnypzZz/Llama2-13b-Language-translate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SnypzZz/Llama2-13b-Language-translate") model = AutoModelForSeq2SeqLM.from_pretrained("SnypzZz/Llama2-13b-Language-translate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SnypzZz/Llama2-13b-Language-translate: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/SnypzZz/Llama2-13b-Language-translate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SnypzZz/Llama2-13b-Language-translate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SnypzZz/Llama2-13b-Language-translate/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 8cb2394bc84ece26267363f01377ca20b026d393edc22b774efe78fad229b8b9
- Size of remote file:
- 2.44 GB
- SHA256:
- 51fbf92efa747400b06d368d5c86b79e4a67799c754bf2c2a81f0bf210efe4c5
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