Instructions to use Hanzalwi/bloom-1b-finetuned-aings-validation-automatic-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hanzalwi/bloom-1b-finetuned-aings-validation-automatic-try with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b1") model = PeftModel.from_pretrained(base_model, "Hanzalwi/bloom-1b-finetuned-aings-validation-automatic-try") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- .gitattributes +1 -0
- adapter_config.json +22 -0
- adapter_model.safetensors +3 -0
- runs/Nov19_13-05-27_ramdhanfirdaus-pod/events.out.tfevents.1700399133.ramdhanfirdaus-pod.59851.0 +3 -0
- runs/Nov19_15-05-23_ramdhanfirdaus-pod/events.out.tfevents.1700406330.ramdhanfirdaus-pod.73711.0 +3 -0
- runs/Nov19_15-10-46_ramdhanfirdaus-pod/events.out.tfevents.1700406652.ramdhanfirdaus-pod.74104.0 +3 -0
- runs/Nov20_01-39-54_ramdhanfirdaus-pod/events.out.tfevents.1700444400.ramdhanfirdaus-pod.79847.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +3 -0
- tokenizer_config.json +44 -0
- training_args.bin +3 -0
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter_config.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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