Translation
Transformers
Safetensors
Chichewa
English
marian
text2text-generation
nyanja
chichewa
low-resource
domain-adaptation
warm-up
encoder-mlm
Instructions to use kelvinmbewe/nyanja_english_warmup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinmbewe/nyanja_english_warmup 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="kelvinmbewe/nyanja_english_warmup")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/nyanja_english_warmup") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/nyanja_english_warmup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from kelvinmbewe/nyanja_english_warmup: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/kelvinmbewe/nyanja_english_warmup/resolve/1920e4ed7cfebf0fa10e8e08963edb750eea04a6/tokenizer_config.json
- Command line
-
hf download hf://kelvinmbewe/nyanja_english_warmup@1920e4ed7cfebf0fa10e8e08963edb750eea04a6/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kelvinmbewe/nyanja_english_warmup/resolve/1920e4ed7cfebf0fa10e8e08963edb750eea04a6/tokenizer_config.json
1.09 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "59810": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "59811": { | |
| "content": "<mask>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "extra_special_tokens": {}, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "ny", | |
| "sp_model_kwargs": {}, | |
| "target_lang": "en", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |