Image Segmentation
Transformers
Safetensors
English
falcon_x
feature-extraction
falcon-x
vision-language
custom_code
Instructions to use JonathanJMK/FALCON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonathanJMK/FALCON with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="JonathanJMK/FALCON", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JonathanJMK/FALCON", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from JonathanJMK/FALCON: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/JonathanJMK/FALCON/resolve/main/generation_config.json
- Command line
-
hf download hf://JonathanJMK/FALCON/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/JonathanJMK/FALCON/resolve/main/generation_config.json
69 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.49.0" | |
| } | |