Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gossminn/predict-perception-bertino-cause-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gossminn/predict-perception-bertino-cause-object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gossminn/predict-perception-bertino-cause-object")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gossminn/predict-perception-bertino-cause-object") model = AutoModelForSequenceClassification.from_pretrained("gossminn/predict-perception-bertino-cause-object", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cfd04fea276c576c6caf0ced09df0457fd1dd182135ba3c0057927dbef5ba9c
- Size of remote file:
- 3.06 kB
- SHA256:
- 1fed090f14bfacb9b5747feeedbe455468cb136e090658c7dcb3041be0184d99
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