Instructions to use masterkristall/tg_comments_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masterkristall/tg_comments_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="masterkristall/tg_comments_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("masterkristall/tg_comments_model") model = AutoModelForSequenceClassification.from_pretrained("masterkristall/tg_comments_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27bd838d30a24b498fc3cb17309339a9a63b1bb63fa1ef36ae9fa21ff8c6e9d2
- Size of remote file:
- 5.05 kB
- SHA256:
- 80d7d4e975095ffd67744965d89202086ec38f304df8a670b07df37f190ab7bb
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