Instructions to use meetkai/functionary-vision-medium-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetkai/functionary-vision-medium-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="meetkai/functionary-vision-medium-v0.1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meetkai/functionary-vision-medium-v0.1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- runs
- tokenizer
- 1.52 kB
- 5.49 kB
- 69 Bytes
- 4.99 GB xet
- 4.94 GB xet
- 4.96 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 5 GB xet
- 4.97 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 4.66 GB xet
- 3.85 GB xet
- 122 kB
- 324 Bytes
- 9.09 MB
- 53 kB
- 257 kB