Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use yujiepan/bert-base-uncased-imdb-92.8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/bert-base-uncased-imdb-92.8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yujiepan/bert-base-uncased-imdb-92.8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yujiepan/bert-base-uncased-imdb-92.8") model = AutoModelForSequenceClassification.from_pretrained("yujiepan/bert-base-uncased-imdb-92.8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77707ddaaba411cf75b73e8f872b6edd0fabba5181136037c54a0574a39eeb8a
- Size of remote file:
- 3.71 kB
- SHA256:
- 21eb0eb21f2272048c9b4984b7731d061749a4b5450af68c5b515dea0adfad9d
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