Instructions to use internlm/internlm-xcomposer2d5-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/internlm-xcomposer2d5-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="internlm/internlm-xcomposer2d5-7b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/internlm-xcomposer2d5-7b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fef5c3b0dd4a8e3d47be469ea566f1677c5feb205fa3faf102adede74d7ede4c
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size 9968094960
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47a4c1e3bec4f806e6ba3e3c57cff92dd141cd4797a08fd6f4a7240c89de0b93
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size 9999575992
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eade0d2bfd9715b18e40aa59854f26cb48f3bb85befd6269a4b6256269046ec5
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size 2224039600
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model.safetensors.index.json
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