Instructions to use crcb/isear_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crcb/isear_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crcb/isear_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crcb/isear_bert") model = AutoModelForSequenceClassification.from_pretrained("crcb/isear_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fabfbf6d6ece2ab4fc6fa5ed1919f2898a126fbc2ab3a64a979db8e2c4b212a0
- Size of remote file:
- 4.08 kB
- SHA256:
- 87a380cf82494999b26c1c6671e0fa97f2e2abea476aa3ea5d815e710be1b293
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