Instructions to use luohy/ESP-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/ESP-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/ESP-bert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/ESP-bert-large") model = AutoModelForSequenceClassification.from_pretrained("luohy/ESP-bert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e8168da951f313f015c3d9c6d12e1dc975dfc2f843cab3048c79cb0261c5e35
- Size of remote file:
- 1.33 GB
- SHA256:
- 080e353b9d2f7e468393758d6a2403112407389a5d8bc14e023546e45e152871
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