Instructions to use cloudqi/cqi_classification_pt_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudqi/cqi_classification_pt_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cloudqi/cqi_classification_pt_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cloudqi/cqi_classification_pt_v0") model = AutoModelForSequenceClassification.from_pretrained("cloudqi/cqi_classification_pt_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bpe.codes from cloudqi/cqi_classification_pt_v0: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/cloudqi/cqi_classification_pt_v0/resolve/main/bpe.codes
- Command line
-
hf download hf://cloudqi/cqi_classification_pt_v0/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/cloudqi/cqi_classification_pt_v0/resolve/main/bpe.codes
1.08 MB
File too large to display, you can check the raw version instead.