Instructions to use openbmb/VisCPM-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/VisCPM-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openbmb/VisCPM-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/VisCPM-Chat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "num_beams": 3, | |
| "num_beam_groups": 1, | |
| "do_sample": false, | |
| "is_constraint_gen_mode": false, | |
| "is_contrastive_search_gen_mode": false, | |
| "pad_token_id": 0, | |
| "eos_token_id": 7, | |
| "bos_token_id": 6, | |
| "max_new_tokens": 100, | |
| "vocab_size": 86583 | |
| } |