Instructions to use SamJoshua/bert-finetuned-sem_eval-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamJoshua/bert-finetuned-sem_eval-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamJoshua/bert-finetuned-sem_eval-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamJoshua/bert-finetuned-sem_eval-english") model = AutoModelForSequenceClassification.from_pretrained("SamJoshua/bert-finetuned-sem_eval-english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f730ce190b579196d17e400b2a6ffb54f6325f51dc7da60922ac4a20247a81c4
- Size of remote file:
- 5.18 kB
- SHA256:
- d7e7cdfe02ae22104400ff6633afc6ebc1593b00c31e30a3201b96abb7085a85
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