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 .gitignore from jarvisx17/japanese-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/jarvisx17/japanese-sentiment-analysis/resolve/main/.gitignore
- Command line
-
hf download hf://jarvisx17/japanese-sentiment-analysis/.gitignore
-
curl -L -o .gitignore https://huggingface.co/jarvisx17/japanese-sentiment-analysis/resolve/main/.gitignore
13 Bytes
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