Text Classification
Transformers
Safetensors
English
distilbert
finance
intent-detection
text-embeddings-inference
Instructions to use ihsankt/financial_sentiment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihsankt/financial_sentiment_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ihsankt/financial_sentiment_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ihsankt/financial_sentiment_model") model = AutoModelForSequenceClassification.from_pretrained("ihsankt/financial_sentiment_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 133cdf3196851da22b710d6fa089f787b64124d6d4fdd648e30d8a73dc8760fa
- Size of remote file:
- 5.84 kB
- SHA256:
- 5f50349bfc25869eb21d1775c3c3637a6ba632bdb78a84bdfb4abaf592b15a05
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