Instructions to use facebook/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam3") model = AutoModel.from_pretrained("facebook/sam3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request for Reconsideration of Access to facebook/sam3
Dear SAM 3 Team,
I am writing to kindly request reconsideration of my access to the SAM 3 model weights. My previous access request was unfortunately rejected.
For reference, my information is as follows:
Name: Lishuxian
Institution: Sichuan University
Hugging Face account email: CharlesNeilWilliams@outlook.com
Primary contact email: lishuxian.gm@gmail.com
I would like to clarify that I intend to use SAM 3 solely for academic research and non-commercial purposes. The model weights will only be used for research experiments, evaluation, and academic studies. I will fully comply with the applicable license terms and usage policies and will not use the model for any commercial purpose.
SAM 3 is highly relevant to my current research, and access to the model weights would be very helpful for conducting and reproducing academic experiments. I would greatly appreciate it if you could reconsider my previous application and grant me access.
If any additional information regarding my identity, affiliation, Hugging Face account, or intended research use is required, I would be happy to provide it.
Thank you very much for your time and consideration.
Best regards,
Lishuxian
Sichuan University
Primary contact: lishuxian.gm@gmail.com
Hugging Face account: CharlesNeilWilliams@outlook.com