Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use hucruz/posneg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hucruz/posneg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hucruz/posneg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hucruz/posneg") model = AutoModelForSequenceClassification.from_pretrained("hucruz/posneg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35f86289a4ca2c2a4d7f2c63945e580bff816e63292ee47e2cadee4d5e9f5d34
- Size of remote file:
- 3.45 kB
- SHA256:
- 420db4ea93a9aa03fd3d78ca1ecadda52d0840c6dc573e68ad5a5f3101badaca
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