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
- Xet hash:
- eac55d632289465ecfe0dc2f01fd6f8d4756dc5d23bcd9b7101852c61472b2c9
- Size of remote file:
- 2.25 GB
- SHA256:
- da6e3f0a967931c91497c6b8501af11999d3ab38703ac1e70f6fb6388187dc37
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