Text Classification
Transformers
Safetensors
English
qwen3
verifiability
financial-reasoning
dataset-curation
reinforcement-learning
text-embeddings-inference
Instructions to use whoisjiji/verifiability-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjiji/verifiability-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjiji/verifiability-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjiji/verifiability-classifier") model = AutoModelForSequenceClassification.from_pretrained("whoisjiji/verifiability-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from whoisjiji/verifiability-classifier: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/whoisjiji/verifiability-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://whoisjiji/verifiability-classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/whoisjiji/verifiability-classifier/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 7f7828f2f177a8fecc364286be9c2c09ea5c1890f3c6f6b4c0ef6aa5f57d44c5
- Size of remote file:
- 11.4 MB
- SHA256:
- def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a
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