Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use fernandals/sentiment_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fernandals/sentiment_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fernandals/sentiment_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fernandals/sentiment_v2") model = AutoModelForSequenceClassification.from_pretrained("fernandals/sentiment_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fernandals/sentiment_v2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/fernandals/sentiment_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fernandals/sentiment_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fernandals/sentiment_v2/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 22657d880305fe27a292e55e957351de483796451c95f5c177ecb5f22c2b1474
- Size of remote file:
- 268 MB
- SHA256:
- 5d8e1bd534604f85543be415c00307b59a33074198aabab8a1a8ae93566429c3
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