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:
- 50119730e549ad48a9bbc1e5d42413f35aea4b2c3bf2318e4226042cfc69db56
- Size of remote file:
- 4.54 kB
- SHA256:
- d16dccb551cdc71da67c79137362a447039321ff2d89aa665303535a9051719c
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