Instructions to use CodeChamp95/bert_sentiment_financial_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeChamp95/bert_sentiment_financial_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeChamp95/bert_sentiment_financial_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeChamp95/bert_sentiment_financial_model") model = AutoModelForSequenceClassification.from_pretrained("CodeChamp95/bert_sentiment_financial_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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