Transformers
Safetensors
English
t5
text2text-generation
aspect-based-sentiment-analysis
absa
natural-language-processing
masked-absa
text-generation-inference
Instructions to use tweetpie/masked-absa-race with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweetpie/masked-absa-race with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tweetpie/masked-absa-race") model = AutoModelForSeq2SeqLM.from_pretrained("tweetpie/masked-absa-race", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbedd85597a88de6c7d668586298dee6f9b6663248b1d60f2b2bba8c50023107
- Size of remote file:
- 3.13 GB
- SHA256:
- cea9004b8a108dd78783b17c932439fc9c9f6a023b739adf5378ee8dba073991
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