Instructions to use guymorlan/English2Shami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guymorlan/English2Shami with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guymorlan/English2Shami") model = AutoModelForSeq2SeqLM.from_pretrained("guymorlan/English2Shami", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "name_or_path": "./checkpoint-2994/", | |
| "pad_token": "<pad>", | |
| "return_tensors": "pt", | |
| "separate_vocabs": false, | |
| "source_lang": "eng", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": null, | |
| "target_lang": "ara", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |