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")# 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
| { | |
| "_num_labels": 3, | |
| "activation_dropout": 0.0, | |
| "activation_function": "swish", | |
| "add_bias_logits": false, | |
| "add_final_layer_norm": false, | |
| "architectures": [ | |
| "MarianMTModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "base_model": "Helsinki-NLP/opus-mt-ny-en", | |
| "batch_size": 16, | |
| "bos_token_id": 0, | |
| "classif_dropout": 0.0, | |
| "classifier_dropout": 0.0, | |
| "corpus_size": 266711, | |
| "d_model": 512, | |
| "dataset_type": "monolingual_nyanja", | |
| "decoder_attention_heads": 8, | |
| "decoder_ffn_dim": 2048, | |
| "decoder_frozen": true, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 6, | |
| "decoder_start_token_id": 59810, | |
| "decoder_vocab_size": 59812, | |
| "dropout": 0.1, | |
| "encoder_attention_heads": 8, | |
| "encoder_ffn_dim": 2048, | |
| "encoder_frozen": false, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 6, | |
| "eos_token_id": 0, | |
| "epochs": 3, | |
| "final_training_loss": 4.316825652813773, | |
| "final_validation_loss": 3.4781408309936523, | |
| "forced_eos_token_id": 0, | |
| "gradient_accumulation_steps": 1, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2" | |
| }, | |
| "init_std": 0.02, | |
| "is_encoder_decoder": true, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2 | |
| }, | |
| "language": "ny", | |
| "learning_rate": 5e-05, | |
| "max_length": null, | |
| "max_position_embeddings": 512, | |
| "model_type": "marian", | |
| "normalize_before": false, | |
| "normalize_embedding": false, | |
| "num_beams": null, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 59810, | |
| "scale_embedding": true, | |
| "share_encoder_decoder_embeddings": true, | |
| "static_position_embeddings": true, | |
| "tokenizer_vocab_size": 59812, | |
| "torch_dtype": "float32", | |
| "training_objective": "masked_language_modeling", | |
| "transformers_version": "4.55.4", | |
| "use_cache": true, | |
| "version": "v1", | |
| "vocab_size": 59812, | |
| "warmup_type": "encoder_mlm" | |
| } | |