Text Classification
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
Eval Results (legacy)
Instructions to use mnoukhov/gpt2-imdb-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnoukhov/gpt2-imdb-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mnoukhov/gpt2-imdb-sentiment-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mnoukhov/gpt2-imdb-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("mnoukhov/gpt2-imdb-sentiment-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30ff44a3e4b15e99f9910f666b28f0b5ac75f922b775c1cdc5645e4d97bd5086
- Size of remote file:
- 3.13 kB
- SHA256:
- c206e600617be32bd3283b867118f2527bb6a8e322ba2338b5b4476c4fb00b63
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