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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
pyx9913 commited on
Commit ·
77dd5c8
1
Parent(s): a0529f8
add v1 model
Browse files- pytorch_model.v1.bin +3 -0
pytorch_model.v1.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a42824b02c89e149ad2494c3e8c8e596bffaf9f1244706d4a0735eb75be224a2
|
| 3 |
+
size 20636786765
|