Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use tomerz14/human-vs-AI_bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomerz14/human-vs-AI_bert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tomerz14/human-vs-AI_bert-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tomerz14/human-vs-AI_bert-classifier") model = AutoModelForSequenceClassification.from_pretrained("tomerz14/human-vs-AI_bert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tomerz14/human-vs-AI_bert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/tomerz14/human-vs-AI_bert-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://tomerz14/human-vs-AI_bert-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tomerz14/human-vs-AI_bert-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 5e91d6ddab8855b6211dcc1c838e504272129e089cade7ffec6acaf49ae33518
- Size of remote file:
- 5.37 kB
- SHA256:
- 05caa8e223aed1353c1d032fd846e2f19fd2000c675e529a2025fda2f985a412
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