Instructions to use monsws/ReviewsLibrosAnalisisSentimientos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsws/ReviewsLibrosAnalisisSentimientos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="monsws/ReviewsLibrosAnalisisSentimientos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("monsws/ReviewsLibrosAnalisisSentimientos") model = AutoModelForSequenceClassification.from_pretrained("monsws/ReviewsLibrosAnalisisSentimientos") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_name": "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis", | |
| "tokenizer_type": "AutoTokenizer", | |
| "usage_example": "tokenizer2 = AutoTokenizer.from_pretrained('mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis')" | |
| } |