Visual Question Answering
Transformers
Safetensors
English
videollama2_mistral
text-generation
multimodal large language model
large video-language model
Instructions to use ccclemenfff/AVL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccclemenfff/AVL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ccclemenfff/AVL")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ccclemenfff/AVL", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
af262cd
1
Parent(s): d4a7de9
add dependencies to requirements.txt
Browse files- requirements.txt +1 -0
requirements.txt
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@@ -19,6 +19,7 @@ pysubs2
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# misc
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scikit-learn==1.2.2
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huggingface_hub==0.23.4
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sentencepiece==0.1.99
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shortuuid
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einops==0.6.1
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# misc
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scikit-learn==1.2.2
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huggingface_hub==0.23.4
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diffusers==0.28.1
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sentencepiece==0.1.99
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shortuuid
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einops==0.6.1
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