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:
- a49916f6365c272ba8ecaa137449df5b05dc73dee4799d12a4e60bf780aaae1b
- Size of remote file:
- 510 MB
- SHA256:
- 71f530f054071081018ee20b2289c1073134f3bb7d19a48a21a14efcfc295e1f
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