Instructions to use Billwzl/roberta-base-IMDB_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Billwzl/roberta-base-IMDB_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Billwzl/roberta-base-IMDB_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Billwzl/roberta-base-IMDB_roberta") model = AutoModelForMaskedLM.from_pretrained("Billwzl/roberta-base-IMDB_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca3aec438a03774e2d3c81ab8b62195cdddc81666b698d9e99749cc93b493a93
- Size of remote file:
- 3.31 kB
- SHA256:
- ca388628a1bce6fbb2a1fef0d12ee17cf5ec9c7c38e39809f66ae115d96fe972
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