Instructions to use Sayan01/CKA-T5-Chat-l-T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/CKA-T5-Chat-l-T2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sayan01/CKA-T5-Chat-l-T2") model = AutoModelForSeq2SeqLM.from_pretrained("Sayan01/CKA-T5-Chat-l-T2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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@@ -25,7 +25,6 @@
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"output_hidden_states": true,
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"output_past": false,
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"pad_token_id": 0,
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"max_new_tokens": 1023,
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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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"output_hidden_states": true,
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"output_past": false,
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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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