Instructions to use amitha/mllava-llama2-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitha/mllava-llama2-zh with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="amitha/mllava-llama2-zh", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVisualQuestionAnswering model = AutoModelForVisualQuestionAnswering.from_pretrained("amitha/mllava-llama2-zh", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from amitha/mllava-llama2-zh: direct link, hf CLI and curl.
- Browser
- Download file 183 Bytes
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https://huggingface.co/amitha/mllava-llama2-zh/resolve/main/generation_config.json
- Command line
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hf download hf://amitha/mllava-llama2-zh/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/amitha/mllava-llama2-zh/resolve/main/generation_config.json
183 Bytes
| { | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "max_length": 4096, | |
| "pad_token_id": 0, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.37.2" | |
| } | |