Instructions to use spoiled/roberta-base-neg-tags with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spoiled/roberta-base-neg-tags with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="spoiled/roberta-base-neg-tags")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("spoiled/roberta-base-neg-tags") model = AutoModelForTokenClassification.from_pretrained("spoiled/roberta-base-neg-tags") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "train_loss": 0.004449349514981534, | |
| "train_runtime": 510.7148, | |
| "train_samples": 30000, | |
| "train_samples_per_second": 234.965, | |
| "train_steps_per_second": 1.841 | |
| } |