Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
custom_code
Eval Results (legacy)
Instructions to use versae/gzipbert_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/gzipbert_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="versae/gzipbert_imdb", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("versae/gzipbert_imdb", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("versae/gzipbert_imdb", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98b908ca0708f87c8085d535b9ad40fc8e23a1c0002508f2a3a7f523001c8d42
- Size of remote file:
- 3.96 kB
- SHA256:
- aa91435ade7b31707a455aec53f06dbd2fc85756698b0d20045c8db2ec4bfda7
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