Instructions to use uclanlp/newsbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/newsbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uclanlp/newsbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/newsbert") model = AutoModelForMaskedLM.from_pretrained("uclanlp/newsbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21977f76b35e8fd27b70eb8bbce26ebcb2132f6d8889389432f041b53266370b
- Size of remote file:
- 438 MB
- SHA256:
- d4a64c2580a426799cb4de8561fb305d7a0575ce8af56397360ce26f32147b49
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