Question Answering
Transformers
Safetensors
mistral
text-generation
Merge
mergekit
lazymergekit
huggingface/CodeBERTa-language-id
Sharathhebbar24/code_gpt2
text-generation-inference
Instructions to use nagayama0706/coding_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagayama0706/coding_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nagayama0706/coding_model")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nagayama0706/coding_model") model = AutoModelForCausalLM.from_pretrained("nagayama0706/coding_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
路
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