Instructions to use SzegedAI/HuBERTmlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzegedAI/HuBERTmlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SzegedAI/HuBERTmlm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SzegedAI/HuBERTmlm") model = AutoModelForMaskedLM.from_pretrained("SzegedAI/HuBERTmlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (de710ef7127b0a3b72a35cb33db3a31695417dd8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>881cf00
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