Mask Generation
Transformers
Safetensors
falcon_perception
text-generation
falcon
segmentation
vision-language
open-vocabulary
custom_code
Eval Results
Instructions to use tiiuae/Falcon-Perception with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiiuae/Falcon-Perception with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="tiiuae/Falcon-Perception", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-Perception", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
FP-HD weights (GRPO RL post-training of Falcon Perception)
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2529514176
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c18e2ffbfedfedf22ca1d231a754459f945cca5e9ea72eb5f2e0b0f4748edfa
|
| 3 |
size 2529514176
|