Instructions to use google/long-t5-local-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-local-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-local-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-local-large") - Notebooks
- Google Colab
- Kaggle
Fix untie word embeddings
Browse files- config.json +1 -0
config.json
CHANGED
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@@ -24,6 +24,7 @@
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.19.0.dev0",
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"use_cache": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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+
"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.19.0.dev0",
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"use_cache": true,
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