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 Notice from JonathanJMK/FALCON: direct link, hf CLI and curl.
- Browser
- Download file 711 Bytes
-
https://huggingface.co/JonathanJMK/FALCON/resolve/main/Notice
- Command line
-
hf download hf://JonathanJMK/FALCON/Notice
-
curl -L -o Notice https://huggingface.co/JonathanJMK/FALCON/resolve/main/Notice
711 Bytes
| Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta | |
| Platforms, Inc. All Rights Reserved. | |
| Vicuna-7B-v1.5: LMSYS, derived from Llama 2. | |
| https://huggingface.co/lmsys/vicuna-7b-v1.5 | |
| License: LICENSE-Llama-2. Acceptable Use Policy: | |
| https://huggingface.co/meta-llama/Llama-2-7b/blob/main/USE_POLICY.md | |
| DINOv2: Meta Platforms, Inc. and affiliates, Apache-2.0. | |
| https://github.com/facebookresearch/dinov2 | |
| RF-DETR segmentation 1.5.2: Roboflow, Apache-2.0. | |
| https://github.com/roboflow/rf-detr/tree/1.5.2 | |
| FALCON code: Apache-2.0. See LICENSE-code for the Apache-2.0 license text. | |
| The final model includes fine-tuned detector, adapter and LoRA weights; | |
| upstream model licenses remain applicable. | |