Instructions to use aychang/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aychang/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aychang/roberta-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aychang/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("aychang/roberta-base-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae3a38b116d63dd7d945538d3d19e2e23845e7663ce00d35d0698a0a9ec06e9b
- Size of remote file:
- 499 MB
- SHA256:
- 8f3d8efc699649903c74d6da83c7492c1b0b0902c31bfd478c49a3640005888e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.