Instructions to use osiria/blaze-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/blaze-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="osiria/blaze-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("osiria/blaze-it") model = AutoModelForMaskedLM.from_pretrained("osiria/blaze-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (e43a9939acce4c73d18236207dcc59f721d454ef) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>182724a
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