Instructions to use izhx/udever-bloom-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izhx/udever-bloom-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="izhx/udever-bloom-3b")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("izhx/udever-bloom-3b") model = AutoModel.from_pretrained("izhx/udever-bloom-3b") - Notebooks
- Google Colab
- Kaggle
add seq len
Browse files- config.json +1 -0
config.json
CHANGED
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@@ -21,6 +21,7 @@
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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+
"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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