Instructions to use DaniilOr/multilingual_framing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaniilOr/multilingual_framing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaniilOr/multilingual_framing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaniilOr/multilingual_framing") model = AutoModelForSequenceClassification.from_pretrained("DaniilOr/multilingual_framing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dcb2a38f6230e6bb7cafad677264f81ffb9844f87494c894d878cf6f59ef3ce
- Size of remote file:
- 5.11 kB
- SHA256:
- dc99c4b7bb11d408b78cffa9eca6d58677152deb714d4b8fdf2ec13a20931360
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