Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use baekTree/roberta-large-batch2-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baekTree/roberta-large-batch2-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baekTree/roberta-large-batch2-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baekTree/roberta-large-batch2-imdb") model = AutoModelForSequenceClassification.from_pretrained("baekTree/roberta-large-batch2-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fc784ddb08e61b39961cc6790a1d5d67d69ee72bfaaa6a3a0240cb06a528803
- Size of remote file:
- 1.42 GB
- SHA256:
- 0da0ea88d2b6f77864ad2a84506938e7923db782032ad9836416f1906af6cb32
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