Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use tminhtri1910/codebert_paravul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tminhtri1910/codebert_paravul with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tminhtri1910/codebert_paravul")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tminhtri1910/codebert_paravul") model = AutoModelForSequenceClassification.from_pretrained("tminhtri1910/codebert_paravul", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from tminhtri1910/codebert_paravul: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/tminhtri1910/codebert_paravul/resolve/main/vocab.json
- Command line
-
hf download hf://tminhtri1910/codebert_paravul/vocab.json
-
curl -L -o vocab.json https://huggingface.co/tminhtri1910/codebert_paravul/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.