Instructions to use Robertooo/ELL_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robertooo/ELL_pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Robertooo/ELL_pretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Robertooo/ELL_pretrained") model = AutoModelForMaskedLM.from_pretrained("Robertooo/ELL_pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf05bb6d051cbbffa23c29c8432fb1589f648f56988d2c7998284e74d5a88584
- Size of remote file:
- 3.38 kB
- SHA256:
- 69ca303f22161db5520859bba885c6a4a35199665ee7b524d5dd9247f3accccf
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