Instructions to use A-Funakoshi/bert-multilingual-sentiments-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A-Funakoshi/bert-multilingual-sentiments-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/bert-multilingual-sentiments-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/bert-multilingual-sentiments-base") model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/bert-multilingual-sentiments-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from A-Funakoshi/bert-multilingual-sentiments-base: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/A-Funakoshi/bert-multilingual-sentiments-base/resolve/main/training_args.bin
- Command line
-
hf download hf://A-Funakoshi/bert-multilingual-sentiments-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/A-Funakoshi/bert-multilingual-sentiments-base/resolve/main/training_args.bin
4.08 kB
- Xet hash:
- cae6c0a5664cbe914c6f3ac705f03d537ce9d6f4c861bbf9280508d3e80142f6
- Size of remote file:
- 4.08 kB
- SHA256:
- d634e3e980131e9cee849ecf9be40761538af01fbac073173af599a6d198b9d9
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