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
Commit ·
6b9a416
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Parent(s): 78c50b9
Upload model
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"_name_or_path": "hf-internal-testing/tiny-random-GPTBigCodeModel",
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"activation_function": "relu",
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"architectures": [
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"attention_softmax_in_fp32": false,
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"attn_pdrop": 0.1,
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"_name_or_path": "hf-internal-testing/tiny-random-GPTBigCodeModel",
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"activation_function": "relu",
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"architectures": [
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"GPTBigCodeModel"
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"attention_softmax_in_fp32": false,
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"attn_pdrop": 0.1,
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model.safetensors
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size 337812
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