Text Classification
Transformers
Safetensors
bert
finance
finbert
market
financial
Generated from Trainer
stocks
sentiment
text-embeddings-inference
Instructions to use baptle/FinBERT_market_based with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baptle/FinBERT_market_based with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baptle/FinBERT_market_based")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baptle/FinBERT_market_based") model = AutoModelForSequenceClassification.from_pretrained("baptle/FinBERT_market_based", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf5f43c0af8a0e6cef819202b07642fcbd70edb47a7cdb8e9b33855f0dd99fb0
- Size of remote file:
- 4.73 kB
- SHA256:
- b547bcb7141580683e2d41c7888f12ba0209be9515460fdf69d6b8e0dd3e61f2
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