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")# pip install -U transformers accelerate # 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
Download sample_input.pkl from Tritkoman/EN-ROM: direct link, hf CLI and curl.
- Browser
- Download file 763 Bytes
-
https://huggingface.co/Tritkoman/EN-ROM/resolve/refs%2Fpr%2F1/sample_input.pkl
- Command line
-
hf download hf://Tritkoman/EN-ROM@refs/pr/1/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/Tritkoman/EN-ROM/resolve/refs%2Fpr%2F1/sample_input.pkl
763 Bytes
- Xet hash:
- 36f73e2e81ab72677329e0e75741f2305e9858c537028e221a05a112f63a88c5
- Size of remote file:
- 763 Bytes
- SHA256:
- 66a9656d090b7d944fd559dd274253cd174520d2608a881a400f4daf9b10eec3
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