Sentence Similarity
Transformers
PyTorch
Safetensors
Polish
bert
feature-extraction
text-embeddings-inference
Instructions to use ipipan/herbert-base-qa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ipipan/herbert-base-qa-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ipipan/herbert-base-qa-v1") model = AutoModel.from_pretrained("ipipan/herbert-base-qa-v1", 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": "/root/.cache/huggingface/transformers/a77c29d6c21e653166565b0d51ea0a46b918191512e0ae894422060267a0f436.b8e113717eb1828d09e47de853cf49c8fad05ebdce24df2614cd942dc23e2a77", "name_or_path": "polqa/model_all_v2", "lang2id": null, "id2lang": null, "tokenizer_class": "HerbertTokenizer"} |