Instructions to use tweettemposhift/topic-topic_random3_seed0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random3_seed0-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random3_seed0-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random3_seed0-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tweettemposhift/topic-topic_random3_seed0-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/tweettemposhift/topic-topic_random3_seed0-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://tweettemposhift/topic-topic_random3_seed0-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tweettemposhift/topic-topic_random3_seed0-roberta-base/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 35610ddd98b304304047f99c093f8f96dc9b5a540b6fec8199c45831861b0854
- Size of remote file:
- 4.54 kB
- SHA256:
- 8671f68113d352797d8e9ea9303ebf1115114b72741d7ec258e2abcbeb89af8e
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