Text Classification
Transformers
Safetensors
PyTorch
English
longformer
fake-news-detection
misinformation-detection
news-classification
multi-dataset
vertex-ai
Instructions to use PushkarKumar/veritas_ai_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PushkarKumar/veritas_ai_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PushkarKumar/veritas_ai_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PushkarKumar/veritas_ai_v2") model = AutoModelForSequenceClassification.from_pretrained("PushkarKumar/veritas_ai_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PushkarKumar/veritas_ai_v2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/PushkarKumar/veritas_ai_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://PushkarKumar/veritas_ai_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PushkarKumar/veritas_ai_v2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 00ced247a680bb65697906383c18d35cdafcedc562da729fb9d2eb52c316db7a
- Size of remote file:
- 4.92 kB
- SHA256:
- b96f83cf8e2d63f6b695aaa81558415adc2e972eaf375016f19427456f7afa9e
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