Text Classification
Transformers
Safetensors
English
bert
AI
Artificial-Intellegence
AI-Disclosure
Finance
BERT
Financial-NLP
Sentence-Classification
Transformers
Banking
Machine-Learning
text-embeddings-inference
Instructions to use bilalzafar/BankAI-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilalzafar/BankAI-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bilalzafar/BankAI-BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bilalzafar/BankAI-BERT") model = AutoModelForSequenceClassification.from_pretrained("bilalzafar/BankAI-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bilalzafar/BankAI-BERT: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/bilalzafar/BankAI-BERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://bilalzafar/BankAI-BERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bilalzafar/BankAI-BERT/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.