Instructions to use Tritkoman/EN-ROM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tritkoman/EN-ROM with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Tritkoman/EN-ROM")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tritkoman/EN-ROM") model = AutoModelForSeq2SeqLM.from_pretrained("Tritkoman/EN-ROM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2bb50deb4a77c18b39d8c861efa609729d520d1ed2c0b51c2507bb57b00a7a3
- Size of remote file:
- 4.92 GB
- SHA256:
- 1764639838ace395832bb2cf58a016a7f9f550bcfaac2a444dc07f8fa3e02960
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