Instructions to use seamusl/enga52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seamusl/enga52 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seamusl/enga52") model = AutoModelForSeq2SeqLM.from_pretrained("seamusl/enga52") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdb741f3bddc6ad86209d590b35e87f0e9ab456b05a8b12c29ac6ca868a5d089
- Size of remote file:
- 5.18 kB
- SHA256:
- c8a3a66f112d8b82597dc025505cdd146542dcef2177e68fe4fdfd72f6a56903
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