Text Classification
Transformers
Safetensors
Vietnamese
roberta
cross-encoder
rerank
text-embeddings-inference
Instructions to use itdainb/PhoRanker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itdainb/PhoRanker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="itdainb/PhoRanker")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("itdainb/PhoRanker") model = AutoModelForSequenceClassification.from_pretrained("itdainb/PhoRanker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bpe.codes from itdainb/PhoRanker: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/itdainb/PhoRanker/resolve/main/bpe.codes
- Command line
-
hf download hf://itdainb/PhoRanker/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/itdainb/PhoRanker/resolve/main/bpe.codes
1.14 MB
File too large to display, you can check the raw version instead.