Robotics
Transformers
Safetensors
mistral
text-generation
Merge
mergekit
lazymergekit
google-bert/bert-base-uncased
sentence-transformers/stsb-xlm-r-multilingual
text-generation-inference
Instructions to use nagayama0706/administrative_processing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagayama0706/administrative_processing_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nagayama0706/administrative_processing_model") model = AutoModelForCausalLM.from_pretrained("nagayama0706/administrative_processing_model") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- google-bert/bert-base-uncased
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- sentence-transformers/stsb-xlm-r-multilingual
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license: apache-2.0
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---
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# test_merge8_
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- google-bert/bert-base-uncased
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- sentence-transformers/stsb-xlm-r-multilingual
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license: apache-2.0
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pipeline_tag: robotics
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# test_merge8_
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