Instructions to use Team-PIXEL/pixel-base-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Team-PIXEL/pixel-base-finetuned-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("Team-PIXEL/pixel-base-finetuned-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download GoNotoCurrent.ttf from Team-PIXEL/pixel-base-finetuned-mnli: direct link, hf CLI and curl.
- Browser
- Download file 15.6 MB
-
https://huggingface.co/Team-PIXEL/pixel-base-finetuned-mnli/resolve/main/GoNotoCurrent.ttf
- Command line
-
hf download hf://Team-PIXEL/pixel-base-finetuned-mnli/GoNotoCurrent.ttf
-
curl -L -o GoNotoCurrent.ttf https://huggingface.co/Team-PIXEL/pixel-base-finetuned-mnli/resolve/main/GoNotoCurrent.ttf
15.6 MB
- Xet hash:
- 56e134e6bb3622b2c9688c42c52fed5abe2143da418a2c8f4162771ee4823595
- Size of remote file:
- 15.6 MB
- SHA256:
- 83ab5c39e2b1c34a955136275ce0db068cb20d9643ead033d6b8124a73ab4f64
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