Modelpublic

rohitkumarai/my_tinybert_encoder

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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🚀 TinyBERT Encoder Model

This is a fine-tuned TinyBERT Encoder model, optimized for lightweight NLP tasks.

🔹 Use This Model

To use this model with transformers, simply run:

python

from transformers import AutoModel, AutoTokenizer

model_name = "hjsgfd/my_tinybert_encoder"  # Replace with your actual repo name
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

# Encode text
text = "TinyBERT is small but powerful."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

print(outputs.last_hidden_state)  # Encoded text representation


from sentence_transformers import SentenceTransformer

model = SentenceTransformer("hjsgfd/my_tinybert_encoder")
embeddings = model.encode("This is an example sentence.")
print(embeddings)
---


# TinyBERT Encoder Model

This is a fine-tuned **TinyBERT Encoder** model optimized for lightweight NLP tasks.

## 🔹 How to Use

from transformers import AutoModel, AutoTokenizer

modelname = " hjsgfd/mytinybertencoder" tokenizer = AutoTokenizer.frompretrained(modelname) model = AutoModel.frompretrained(model_name)

Encode text

text = "TinyBERT is small but powerful." inputs = tokenizer(text, return_tensors="pt") outputs = model(**inputs)

print(outputs.lasthiddenstate) # Encoded text representation