Instructions to use lxs1/DistilBertForSequenceClassification_6h_768dim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lxs1/DistilBertForSequenceClassification_6h_768dim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lxs1/DistilBertForSequenceClassification_6h_768dim")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lxs1/DistilBertForSequenceClassification_6h_768dim") model = AutoModelForSequenceClassification.from_pretrained("lxs1/DistilBertForSequenceClassification_6h_768dim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699f91dbe65f6508a3651e353a22c39773d20c9685c88c2634c49887a3b1b65d
- Size of remote file:
- 268 MB
- SHA256:
- ba1d7e9bdfd979c03bfc30ef44f9f4b8e3145a66037c63569b98ff48516ec22c
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