Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use leandroaraujodev/finbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leandroaraujodev/finbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leandroaraujodev/finbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leandroaraujodev/finbert") model = AutoModelForSequenceClassification.from_pretrained("leandroaraujodev/finbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2e438dc233828fff779f724668af8b461b2195d1b986371237974c4773aad75
- Size of remote file:
- 5.18 kB
- SHA256:
- e56b3efcdc7e2c2d5f32b5e2c77c5ab7aa648949c9f905764826f0cd1cf17d02
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