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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False/resolve/main/generation_config.json
- Command line
-
hf download hf://bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/bumblebee-testing/tiny-random-GPTBigCodeModel-multi_query-False/resolve/main/generation_config.json
135 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "pad_token_id": 1021, | |
| "transformers_version": "4.35.0" | |
| } | |