Text Classification
Transformers
Safetensors
llama
trl
reward-trainer
Generated from Trainer
text-embeddings-inference
Instructions to use smohammadi/tinyllama_rm_sentiment_1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smohammadi/tinyllama_rm_sentiment_1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smohammadi/tinyllama_rm_sentiment_1b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smohammadi/tinyllama_rm_sentiment_1b") model = AutoModelForSequenceClassification.from_pretrained("smohammadi/tinyllama_rm_sentiment_1b") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
4ce1493 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6697a3f12a082b0e5b1ecb70d826365d2e76780950bfcd171470b7e408c44afa
size 4138080772
|