Instructions to use SRDdev/MarathiSampark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/MarathiSampark with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SRDdev/MarathiSampark") model = AutoModelForSeq2SeqLM.from_pretrained("SRDdev/MarathiSampark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bad_words_ids": [ | |
| [ | |
| 61673 | |
| ] | |
| ], | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 61673, | |
| "eos_token_id": 0, | |
| "forced_eos_token_id": 0, | |
| "max_length": 512, | |
| "num_beams": 6, | |
| "pad_token_id": 61673, | |
| "transformers_version": "4.30.2" | |
| } | |