Instructions to use paulhindemith/fasttext-jp-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulhindemith/fasttext-jp-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="paulhindemith/fasttext-jp-embedding", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulhindemith/fasttext-jp-embedding", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "fasttext_jp_tokenizer.FastTextJpTokenizer", | |
| null | |
| ] | |
| }, | |
| "tokenizer_class": "FastTextJpTokenizer" | |
| } | |