Instructions to use longshared/my_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longshared/my_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="longshared/my_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("longshared/my_test") model = AutoModelForSequenceClassification.from_pretrained("longshared/my_test") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="longshared/my_test")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("longshared/my_test")
model = AutoModelForSequenceClassification.from_pretrained("longshared/my_test")Quick Links
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# Gated model: Login with a HF token with gated access permission hf auth login