Adding `_unmask_unattended` as it was missing in AttentionMaskConverter. 6d21096
Tristan Dardoize commited on
How to use q-future/one-align with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="q-future/one-align", trust_remote_code=True)
pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
candidate_labels=["animals", "humans", "landscape"],
) # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("q-future/one-align", trust_remote_code=True, dtype="auto")