Instructions to use Preeyank/roberta-base-education-domain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Preeyank/roberta-base-education-domain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Preeyank/roberta-base-education-domain")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Preeyank/roberta-base-education-domain") model = AutoModelForMaskedLM.from_pretrained("Preeyank/roberta-base-education-domain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a7f627aae138a8e7e8864df6b647a981327dd0613ed074b9c0502f1cd95295e
- Size of remote file:
- 499 MB
- SHA256:
- 2cb66fa48e3128b3ede6621c2928026e66b3a94c745a9bfb3e71f03e8db89dc4
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