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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="nagayama0706/coding_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nagayama0706/coding_model") model = AutoModelForCausalLM.from_pretrained("nagayama0706/coding_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle