Instructions to use DunnBC22/canine-c-Mental_Health_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/canine-c-Mental_Health_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/canine-c-Mental_Health_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 295e534b99e56fbe5a25ecdd3b52cf5046de1944d7da0c674748499bde371a79
- Size of remote file:
- 6.15 kB
- SHA256:
- ff1042176e5ce5ee16d23a8061418197b0ce977232d9ff189ce0c246f609227e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.