Using max_position_embeddings instead of max_sequence_length to standardise with HF

Using max_position_embeddings instead of max_sequence_length to standardise with HF

Update config.json

Fixing AutoModel initialization to intialize as encoder + Fixing sequence length reading for MTEB

Update modeling_gptbert.py

Update modeling_gptbert.py

Update modeling_gptbert.py

Update modeling_gptbert.py

fixed output format

fix NaNs

Update README.md (#8)

make FlashAttention logic more robust

Upload model.safetensors with huggingface_hub

fix

Update config.json

removed SDPA

Update modeling_gptbert.py

fixed SDPA for older PyTorch versions

Update config.json

Upload model_performance.png

Update README.md

Update README.md

FlashAttention support

FlashAttention support

FlashAttention support

Update special_tokens_map.json

Update modeling_gptbert.py

Upload folder using huggingface_hub

initial commit