Instructions to use pachequinho/sentiment_bert_twitter_airlines_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pachequinho/sentiment_bert_twitter_airlines_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pachequinho/sentiment_bert_twitter_airlines_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pachequinho/sentiment_bert_twitter_airlines_10") model = AutoModelForSequenceClassification.from_pretrained("pachequinho/sentiment_bert_twitter_airlines_10") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:06e389153cd97f9ad1a7f9513e8699689b8de5bb3171bb39414027aaf9557949
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size 433270768
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