Instructions to use CodeNLP/pdn2_v08_nkjp_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeNLP/pdn2_v08_nkjp_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CodeNLP/pdn2_v08_nkjp_large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CodeNLP/pdn2_v08_nkjp_large") model = AutoModel.from_pretrained("CodeNLP/pdn2_v08_nkjp_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "sep_token": "</s>", "do_lowercase_and_remove_accent": false, "bos_token": "<s>", "additional_special_tokens": [], "model_max_length": 512, "special_tokens_map_file": "/home/czuk/.cache/huggingface/transformers/7e8fe8852a1ff7e03195cb41fac16af837f8c14a34a61850b02a7395eb294f00.b8e113717eb1828d09e47de853cf49c8fad05ebdce24df2614cd942dc23e2a77", "name_or_path": "allegro/herbert-large-cased", "lang2id": null, "id2lang": null, "tokenizer_class": "HerbertTokenizer"} |