Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/targetsandgoalsv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/targetsandgoalsv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/targetsandgoalsv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/targetsandgoalsv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/targetsandgoalsv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1747e46c3f1bdd5aad4a4d5f7b8baf53bba136bcb2ff690939f91e52da6a5674
- Size of remote file:
- 5.05 kB
- SHA256:
- 3e3b92ce5f942497570a8d2076edbae5b7fc016686aa199128ad8e13dfbf0d03
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