Instructions to use geekfeed/gpt2_ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geekfeed/gpt2_ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="geekfeed/gpt2_ja")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("geekfeed/gpt2_ja") model = AutoModel.from_pretrained("geekfeed/gpt2_ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
6c297f7 -
allow flax
9d05b9f
-
First version of the your-model-name model and tokenizer.
64c2fb4 -
first commit
9bc015e -
initial commit
f6ccd47