Instructions to use amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model") model = AutoModelForSeq2SeqLM.from_pretrained("amir22010/PyABSA_Hospital_Multilingual_allenai_tk-instruct-base-def-pos_FinedTuned_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 649f5c91d807e480c7bdc25ed60b4e5ab0fb12c51270fed11d1d55532df6ad25
- Size of remote file:
- 990 MB
- SHA256:
- deb0d745d1c5311e89197447c9903850a459b84261a37b0f425c2791371e7a9f
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