Text Classification
Transformers
PyTorch
English
bert
sequence-classification
sentiment-analysis
Eval Results (legacy)
Instructions to use toolathon123/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathon123/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolathon123/my-awesome-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolathon123/my-awesome-model") model = AutoModelForSequenceClassification.from_pretrained("toolathon123/my-awesome-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_max_length": 512, | |
| "tokenizer_class": "BertTokenizer" | |
| } |