Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use dsmsb/tweet-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsmsb/tweet-classification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dsmsb/tweet-classification-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dsmsb/tweet-classification-v1") model = AutoModelForSequenceClassification.from_pretrained("dsmsb/tweet-classification-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
25eba12 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3ea4a1f33be0260e966607993992a310557b4946f6c38d2d31d28fd2f1fec091
size 3963
|