Instructions to use DaniilOr/multilingual_freedom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaniilOr/multilingual_freedom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaniilOr/multilingual_freedom")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaniilOr/multilingual_freedom") model = AutoModelForSequenceClassification.from_pretrained("DaniilOr/multilingual_freedom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DaniilOr/multilingual_freedom: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/DaniilOr/multilingual_freedom/resolve/main/tokenizer.json
- Command line
-
hf download hf://DaniilOr/multilingual_freedom/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DaniilOr/multilingual_freedom/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 318d924493434403144202b00231c0063460a8beb3f72080b31f96086c2e5465
- Size of remote file:
- 16.3 MB
- SHA256:
- d23afdb8c4f3b1b079dfcc28ad7828b09c183043487667b6527d9f75c60c2a87
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