Text Classification
Transformers
TensorBoard
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kekunh/financial-twhin-bert-large-3labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kekunh/financial-twhin-bert-large-3labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kekunh/financial-twhin-bert-large-3labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kekunh/financial-twhin-bert-large-3labels") model = AutoModelForSequenceClassification.from_pretrained("kekunh/financial-twhin-bert-large-3labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
financial-twhin-bert-large-3labels / runs /Feb22_22-04-28_c9c4e1100ec2 /events.out.tfevents.1708639471.c9c4e1100ec2.1595.6
- Xet hash:
- 00ee6a00fad647af1716be8dcbc3619c61d3aa4d2fe88d3320788e39bc477ebd
- Size of remote file:
- 11.8 kB
- SHA256:
- 65d221ed6f741f4488bca22d65c82d31e48f24d13b95cfa26fa2bf8199368212
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