Instructions to use WindyTranslate/translate-tr-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tr-eo 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="WindyTranslate/translate-tr-eo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tr-eo") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tr-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tr-eo, with attribution and change statement
2bfde17 verified Download generation_config.json from WindyTranslate/translate-tr-eo: direct link, hf CLI and curl.
- Browser
- Download file 285 Bytes
-
https://huggingface.co/WindyTranslate/translate-tr-eo/resolve/main/generation_config.json
- Command line
-
hf download hf://WindyTranslate/translate-tr-eo/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/WindyTranslate/translate-tr-eo/resolve/main/generation_config.json
285 Bytes
| { | |
| "bad_words_ids": [ | |
| [ | |
| 7394 | |
| ] | |
| ], | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 7394, | |
| "eos_token_id": 0, | |
| "forced_eos_token_id": 0, | |
| "max_length": 512, | |
| "num_beams": 6, | |
| "pad_token_id": 7394, | |
| "renormalize_logits": true, | |
| "transformers_version": "4.45.1" | |
| } | |