Instructions to use toolathlonEval/FilteredBert-EvalRepo-358 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/FilteredBert-EvalRepo-358 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolathlonEval/FilteredBert-EvalRepo-358")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/FilteredBert-EvalRepo-358") model = AutoModelForSequenceClassification.from_pretrained("toolathlonEval/FilteredBert-EvalRepo-358", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb796e499d82b0522bd1626e26ffcedb55c3ea2ee2efbe6d97783ea6b54afa1a
- Size of remote file:
- 45 Bytes
- SHA256:
- 191afe60a207f2e0ac8270a5bd957ac2ec46fc681111e929a7927bdbc507589b
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