Fill-Mask
Transformers
Safetensors
Chinese
English
bert
PretrainModel
TCM
transformer
herberta
text-embedding
Instructions to use XiaoEnn/herberta_seq_512_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XiaoEnn/herberta_seq_512_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="XiaoEnn/herberta_seq_512_V2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("XiaoEnn/herberta_seq_512_V2") model = AutoModelForMaskedLM.from_pretrained("XiaoEnn/herberta_seq_512_V2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.45.1" | |
| } | |