Instructions to use ethansimrm/opus_base_simple_tfidf_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_simple_tfidf_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ethansimrm/opus_base_simple_tfidf_wce: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ethansimrm/opus_base_simple_tfidf_wce/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/tokenizer_config.json
280 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "en", | |
| "sp_model_kwargs": {}, | |
| "target_lang": "fr", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |