Instructions to use Dharmik/bloom_530M_search_query_terms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dharmik/bloom_530M_search_query_terms with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "Dharmik/bloom_530M_search_query_terms") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0ef6b302941aeac396c27acd23086212949caf1272bfcb59a8269f2e3198c85
- Size of remote file:
- 411 kB
- SHA256:
- fe3a209927e425af1f7cfd325b0ce4b11bbd9b7296c528c03b55281a1103528b
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