Instructions to use Zombely/GPT2ForSequenceClassification-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zombely/GPT2ForSequenceClassification-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zombely/GPT2ForSequenceClassification-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zombely/GPT2ForSequenceClassification-sst2") model = AutoModelForSequenceClassification.from_pretrained("Zombely/GPT2ForSequenceClassification-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97d733e298a16e07455d906cfb71fe2facf94bae690a2bebb27f789380ab917b
- Size of remote file:
- 510 MB
- SHA256:
- 7ff6d2f3b86c7ebb3e208e2139371abf930aa3b3b3ef953abc5f14be021531e7
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