Visual Question Answering
Transformers
Safetensors
internvl_chat
feature-extraction
custom_code
8-bit precision
bitsandbytes
Instructions to use failspy/InternVL-Chat-V1-5-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use failspy/InternVL-Chat-V1-5-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="failspy/InternVL-Chat-V1-5-8bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("failspy/InternVL-Chat-V1-5-8bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.0, | |
| "train_loss": 0.8170236018231988, | |
| "train_runtime": 190400.5325, | |
| "train_samples": 5155291, | |
| "train_samples_per_second": 27.076, | |
| "train_steps_per_second": 0.026 | |
| } |