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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10060ea4a393cda68db7a154e8b05c1253db7b268509f7fd246e9f939f598973
- Size of remote file:
- 499 MB
- SHA256:
- 7dabafc13bd6ef570dea3e65537316aac02ab8bad6b3021503915bf5703f5b7c
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