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YAML Metadata Warning: The pipeline tag "token-class" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

My Model

Model description

Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools.

How to use

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("ziqin/my-model")
model = AutoModel.from_pretrained("ziqin/my-model")

About Us

We are from Sugon.

Other metadata

library_name: transformers

widget:

  • text: 我喜欢看电影 output:
    • label: POSITIVE score: 0.8
    • label: NEGATIVE score: 0.2
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