Instructions to use natankatz/chan_model_class_1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natankatz/chan_model_class_1_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="natankatz/chan_model_class_1_0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("natankatz/chan_model_class_1_0") model = AutoModelForSequenceClassification.from_pretrained("natankatz/chan_model_class_1_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
e4f550c -
Upload GPT2ForSequenceClassification
0fa00e2 -
Upload tokenizer
0ad2a05 -
Upload GPT2ForSequenceClassification
0e58f7d
-
Upload tokenizer
b570f39 -
Upload GPT2ForSequenceClassification
c6e2ee7
-
Upload tokenizer
3bbe765 -
Upload GPT2ForSequenceClassification
95c39a2 -
initial commit
7d63570