Instructions to use aypan17/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aypan17/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aypan17/roberta-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aypan17/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("aypan17/roberta-base-imdb") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("aypan17/roberta-base-imdb")
model = AutoModelForSequenceClassification.from_pretrained("aypan17/roberta-base-imdb")Quick Links
TrainingArgs: lr=2e-5, train-batch-size=16, eval-batch-size=16, num-train-epochs=5, weight-decay=0.01,
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aypan17/roberta-base-imdb")