Instructions to use NPCProgrammer/BERT_tweet_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/BERT_tweet_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/BERT_tweet_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/BERT_tweet_tuned") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/BERT_tweet_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90b1997fb3491c45633abe1e6d86d63ea6f6f2f625ee7b29474faffa2b0449d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 5dc7b3ef677b9fae7be43f7efbbe897982aef193d52ae92eff992f532d185931
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