Instructions to use bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False") model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False")
model = AutoModel.from_pretrained("bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False")