Token Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use ICT2214Team7/RoBERTa_Test_Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICT2214Team7/RoBERTa_Test_Training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ICT2214Team7/RoBERTa_Test_Training")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ICT2214Team7/RoBERTa_Test_Training") model = AutoModelForTokenClassification.from_pretrained("ICT2214Team7/RoBERTa_Test_Training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ICT2214Team7/RoBERTa_Test_Training: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training/resolve/main/tokenizer.json
- Command line
-
hf download hf://ICT2214Team7/RoBERTa_Test_Training/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.