Instructions to use SteveBabb10M/manx-mt-gv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SteveBabb10M/manx-mt-gv-en 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="SteveBabb10M/manx-mt-gv-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SteveBabb10M/manx-mt-gv-en") model = AutoModelForSeq2SeqLM.from_pretrained("SteveBabb10M/manx-mt-gv-en") - Notebooks
- Google Colab
- Kaggle
| { | |
| "assistant_confidence_threshold": 0.4, | |
| "assistant_lookbehind": 10, | |
| "bad_words_ids": [ | |
| [ | |
| 56682 | |
| ] | |
| ], | |
| "decoder_start_token_id": 56682, | |
| "diversity_penalty": 0.0, | |
| "do_sample": false, | |
| "early_stopping": false, | |
| "encoder_no_repeat_ngram_size": 0, | |
| "encoder_repetition_penalty": 1.0, | |
| "eos_token_id": [ | |
| 0 | |
| ], | |
| "epsilon_cutoff": 0.0, | |
| "eta_cutoff": 0.0, | |
| "forced_eos_token_id": 0, | |
| "length_penalty": 1.0, | |
| "max_length": 512, | |
| "min_length": 0, | |
| "no_repeat_ngram_size": 0, | |
| "num_assistant_tokens": 20, | |
| "num_assistant_tokens_schedule": "constant", | |
| "num_beam_groups": 1, | |
| "num_beams": 4, | |
| "num_return_sequences": 1, | |
| "output_scores": false, | |
| "pad_token_id": 56682, | |
| "remove_invalid_values": false, | |
| "renormalize_logits": true, | |
| "repetition_penalty": 1.0, | |
| "return_dict_in_generate": false, | |
| "target_lookbehind": 10, | |
| "temperature": 1.0, | |
| "top_k": 50, | |
| "top_p": 1.0, | |
| "transformers_version": "5.7.0", | |
| "typical_p": 1.0, | |
| "use_cache": true | |
| } | |