Instructions to use shivavardhineedi/Mini-InternVL-Chat-2B-V1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivavardhineedi/Mini-InternVL-Chat-2B-V1-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shivavardhineedi/Mini-InternVL-Chat-2B-V1-5", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivavardhineedi/Mini-InternVL-Chat-2B-V1-5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
This is a basic fully finetuned version of OpenGVLab/Mini-InternVL-Chat-2B-V1-5
finetuned specifically for docVQA purpose .... still ongoing
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [More Information Needed]
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- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
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