Instructions to use ZarahShibli/tmp_trainer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/tmp_trainer2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZarahShibli/tmp_trainer2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/tmp_trainer2") model = AutoModelForSequenceClassification.from_pretrained("ZarahShibli/tmp_trainer2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be46bd3ab61ef27f08f585048adab00993a127a7e12db1ba07b2eb967efa06c8
- Size of remote file:
- 4.28 kB
- SHA256:
- f538b491521d58294499978c8bc6e187401c5d7a609b4796ac160fc1802127ae
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