Instructions to use dennlinger/roberta-cls-consec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dennlinger/roberta-cls-consec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dennlinger/roberta-cls-consec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dennlinger/roberta-cls-consec") model = AutoModelForSequenceClassification.from_pretrained("dennlinger/roberta-cls-consec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
778abea
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Parent(s): d6b9d29
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7f6d010900a09c2b8cbe8f36842a57be5ecaf0cd4b85fdfa7b5a10d6fba6ebf
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size 498595901
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