Translation
Transformers
Safetensors
Japanese
English
llama
text-generation
text-generation-inference
Instructions to use lmg-anon/vntl-llama3-8b-v2-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmg-anon/vntl-llama3-8b-v2-hf 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="lmg-anon/vntl-llama3-8b-v2-hf")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("lmg-anon/vntl-llama3-8b-v2-hf") model = AutoModelForMultimodalLM.from_pretrained("lmg-anon/vntl-llama3-8b-v2-hf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11973aac403ef9695af0ddf72a4bd0382b481a3549678513d859ab02e94c605b
- Size of remote file:
- 17.2 MB
- SHA256:
- 01e3be37353fbc0be479c7509d53c76860b7915a6b1852d5e75ec0c92707138b
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