Instructions to use YanJiangJerry/bertweet-large_epoch6_batch4_lr2e-05_w0.005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/bertweet-large_epoch6_batch4_lr2e-05_w0.005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/bertweet-large_epoch6_batch4_lr2e-05_w0.005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/bertweet-large_epoch6_batch4_lr2e-05_w0.005") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/bertweet-large_epoch6_batch4_lr2e-05_w0.005", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdbfb2c822ff09537daa1dbd73de059cf98a6d40d669e8a05596590a711d159e
- Size of remote file:
- 1.42 GB
- SHA256:
- b5e4afefc85c6c99678f5927eef9263191b68669db59dab0f80ab7f0e53bd1fd
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