Instructions to use tweettemposhift/topic-topic_random2_seed2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random2_seed2-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random2_seed2-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random2_seed2-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random2_seed2-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aadb3a9f06fe5cb659815b4b35ecb0472a10821f291e8ebc6ead75e73f21ff3
- Size of remote file:
- 1.42 GB
- SHA256:
- 592d440de8cb7282450bf2c90dd930d6ed396f853ccec66720e6bba8bfb8c3d2
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