Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use jacklong0718/my_awesome_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacklong0718/my_awesome_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacklong0718/my_awesome_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacklong0718/my_awesome_model2") model = AutoModelForSequenceClassification.from_pretrained("jacklong0718/my_awesome_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4573d8caa31bb0a86cb73c164595a2a569ddf4690bb6696d888bb00abf551f6
- Size of remote file:
- 5.05 kB
- SHA256:
- 03245841f7d210f33563168e5550b374fab5aaa86d49e0e8971c17fb4f525daa
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