Fill-Mask
Transformers
PyTorch
TensorFlow
JAX
roberta
roberta-base
masked-language-modeling
masked-lm
Instructions to use thatdramebaazguy/movie-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thatdramebaazguy/movie-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thatdramebaazguy/movie-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thatdramebaazguy/movie-roberta-base") model = AutoModelForMaskedLM.from_pretrained("thatdramebaazguy/movie-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee0930f4d5b8eaa3cc6850b3c7e89cdb0af432b766d8ca0b0a4c6497c3ab0653
- Size of remote file:
- 655 MB
- SHA256:
- 66b8e13a175d6f8e96bcc4d637443772a8de0b45aef987e5520cbd42ba9f9185
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