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:
- 1596f46c3351be0a2882e2f5c9e79289dbe50d58783a003a3fb08bcf285e4d30
- Size of remote file:
- 499 MB
- SHA256:
- dcd9dd14b22b3ecd635d00514909e68352cb86d9289525be1a757dd7889d296a
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