Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Japanese
bert
Generated from Trainer
Instructions to use jarvisx17/japanese-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jarvisx17/japanese-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jarvisx17/japanese-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jarvisx17/japanese-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("jarvisx17/japanese-sentiment-analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jarvisx17/japanese-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/jarvisx17/japanese-sentiment-analysis/resolve/main/training_args.bin
- Command line
-
hf download hf://jarvisx17/japanese-sentiment-analysis/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jarvisx17/japanese-sentiment-analysis/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- d68a8fce8cdd0acdf439de5e180dcec7e7106ee9189865726f2260d3a50e4abf
- Size of remote file:
- 3.44 kB
- SHA256:
- 696b4d85c508ecba47d6d4ff5bec8b0416aa0dc0b48892c0c013600c2059598f
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