Instructions to use james-burton/exps_mentioned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-burton/exps_mentioned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="james-burton/exps_mentioned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("james-burton/exps_mentioned") model = AutoModelForSequenceClassification.from_pretrained("james-burton/exps_mentioned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:730b04584f3f99d9208b5046f3616aade8db4691feb936fddb2ed06c1f7743eb
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size 433422600
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