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
File size: 993 Bytes
329ea5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | {
"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
}
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