This is a DeBERTa(V2) model pre-trained on Chinese Wikipedia texts (both simplified and traditional). NVIDIA A100-SXM4-40GB took 102 hours 34 minutes for training. You can fine-tune
deberta-base-chinese
for downstream tasks, such as
POS-tagging
,
dependency-parsing
, and so on.
How to Use
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-chinese")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-chinese")
Runs of KoichiYasuoka deberta-base-chinese on huggingface.co
57
Total runs
-1
24-hour runs
-1
3-day runs
-18
7-day runs
18
30-day runs
More Information About deberta-base-chinese huggingface.co Model
deberta-base-chinese huggingface.co is an AI model on huggingface.co that provides deberta-base-chinese's model effect (), which can be used instantly with this KoichiYasuoka deberta-base-chinese model. huggingface.co supports a free trial of the deberta-base-chinese model, and also provides paid use of the deberta-base-chinese. Support call deberta-base-chinese model through api, including Node.js, Python, http.
deberta-base-chinese huggingface.co is an online trial and call api platform, which integrates deberta-base-chinese's modeling effects, including api services, and provides a free online trial of deberta-base-chinese, you can try deberta-base-chinese online for free by clicking the link below.
KoichiYasuoka deberta-base-chinese online free url in huggingface.co:
deberta-base-chinese is an open source model from GitHub that offers a free installation service, and any user can find deberta-base-chinese on GitHub to install. At the same time, huggingface.co provides the effect of deberta-base-chinese install, users can directly use deberta-base-chinese installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
deberta-base-chinese install url in huggingface.co: