Feature Extraction
Transformers
Safetensors
internvl_chat
Generated from Trainer
trl
sft
custom_code
Instructions to use THP2903/InternVL2_5-1B_finding_test_train_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use THP2903/InternVL2_5-1B_finding_test_train_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="THP2903/InternVL2_5-1B_finding_test_train_v2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("THP2903/InternVL2_5-1B_finding_test_train_v2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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